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Autor principal: Abdelrazek, Loay
Formato: Preprint
Publicado: 2026
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Acceso en línea:https://arxiv.org/abs/2605.27743
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author Abdelrazek, Loay
author_facet Abdelrazek, Loay
contents Modern 5G-Advanced and emerging 6G cloud-native telecom architectures encounter unprecedented hyper-complexity, multi-layered threat vectors, and fluid structural topologies. Managing infrastructure security using manual, imperative configurations introduces a severe latency gap, presenting attackers with an exploitable window. This paper presents a declarative, autonomous, self-protecting framework based on our design and standardization of the TM Forum TR292I Security Ontology v4.0.0. Our approach leverages Description Logic (DL) and automated graph reasoning within a closed-loop execution pipeline to dynamically neutralize live threats. Crucially, the system balances functional protection expectations with non-functional resource impact considerations (e.g., latency vs. compute overhead). We validate our model-driven architecture through a structural formal verification walkthrough of a distributed Denial of Service (DDoS) attack mitigation sequence on a disaggregated Next-Generation NodeB (gNB) slice, demonstrating how automated reasoning resolves runtime constraint conflicts without human intervention.
format Preprint
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institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Intent-based Security Management Using the TM Forum TR292I Security Ontology
Abdelrazek, Loay
Cryptography and Security
Modern 5G-Advanced and emerging 6G cloud-native telecom architectures encounter unprecedented hyper-complexity, multi-layered threat vectors, and fluid structural topologies. Managing infrastructure security using manual, imperative configurations introduces a severe latency gap, presenting attackers with an exploitable window. This paper presents a declarative, autonomous, self-protecting framework based on our design and standardization of the TM Forum TR292I Security Ontology v4.0.0. Our approach leverages Description Logic (DL) and automated graph reasoning within a closed-loop execution pipeline to dynamically neutralize live threats. Crucially, the system balances functional protection expectations with non-functional resource impact considerations (e.g., latency vs. compute overhead). We validate our model-driven architecture through a structural formal verification walkthrough of a distributed Denial of Service (DDoS) attack mitigation sequence on a disaggregated Next-Generation NodeB (gNB) slice, demonstrating how automated reasoning resolves runtime constraint conflicts without human intervention.
title Intent-based Security Management Using the TM Forum TR292I Security Ontology
topic Cryptography and Security
url https://arxiv.org/abs/2605.27743